High Performance tool for Infrastructure monitoring
Komali, Dastagiri; Paidala, Shahida (2022)
2022
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2022060113941
https://urn.fi/URN:NBN:fi:amk-2022060113941
Tiivistelmä
Blueprint Genetics (BPG) infrastructure will grow as new services and new cloud environments are added to the maintenance portfolio. There is a need for centralized infrastructure and service monitoring. This requirement opens a door in the form of an opportunity to research solutions according to BPG requirements and develop a Minimum Viable Product in the form of Infrastructure as Code (IaC).
We used the ‘Design thinking’ method, from Empathising with the problem through Defining, Ideating, Proto-typing, and Testing; this method naturally aligns with the thesis process. We started with abstract objectives, and during the thesis, we concluded with three main objectives. All objectives and research questions are vital to resolving the BPG challenge of a centralized monitoring solution.
As a solution-oriented architect, Dastagiri is passionate about exploring options for developing solutions meeting Amazon's well-structured framework standards. After finalizing the solution architecture, which becomes a medium to start a conversation during the interviews. We interviewed the BPG Cloud team, the main stakeholders of the solution, and collected feedback. After that, we develop MVP with the Grafana tool, which meets the target solution and enables BPG to globally monitor infrastructure and services. MVP is developed and deployed to "*****-dev" environment. As a specialist in Quality, Shahida verified whether the solution meets BPG quality, functional, and integration requirements.
After finalizing the solution architecture, we interviewed the BPG Cloud team, the main stakeholders of the solution. We have tested the solution and its integrations in this environment. During the thesis, we enjoyed challenges and learned new concepts by applying them to fulfil BPG requirements and successfully delivering the MVP to the team with the needed knowledge.
We used the ‘Design thinking’ method, from Empathising with the problem through Defining, Ideating, Proto-typing, and Testing; this method naturally aligns with the thesis process. We started with abstract objectives, and during the thesis, we concluded with three main objectives. All objectives and research questions are vital to resolving the BPG challenge of a centralized monitoring solution.
As a solution-oriented architect, Dastagiri is passionate about exploring options for developing solutions meeting Amazon's well-structured framework standards. After finalizing the solution architecture, which becomes a medium to start a conversation during the interviews. We interviewed the BPG Cloud team, the main stakeholders of the solution, and collected feedback. After that, we develop MVP with the Grafana tool, which meets the target solution and enables BPG to globally monitor infrastructure and services. MVP is developed and deployed to "*****-dev" environment. As a specialist in Quality, Shahida verified whether the solution meets BPG quality, functional, and integration requirements.
After finalizing the solution architecture, we interviewed the BPG Cloud team, the main stakeholders of the solution. We have tested the solution and its integrations in this environment. During the thesis, we enjoyed challenges and learned new concepts by applying them to fulfil BPG requirements and successfully delivering the MVP to the team with the needed knowledge.